Optimal torque control of an integrated starter–generator using genetic algorithms

Abstract

A mild hybrid electric vehicle is a type of hybrid electric vehicle with a simplified hybrid drivetrain mechanism. These mild hybrid electric vehicles use an integrated starter–generator to assist the internal-combustion engine simply rather than to drive the vehicle independently of the internal-combustion engine. In a previous study, a lookup- table-based control scheme was proposed for optimal control of the integrated starter–generator and the internal-combustion engine on a mild hybrid vehicle. In order to investigate further the optimality of the integrated starter–generator control lookup table, a widely used global optimization technique called a genetic algorithm is utilized in this study. The constructed optimal lookup tables are implemented in MATLAB/Simulink together with a mild hybrid vehicle model, which is based on an US Environmental Protection Agency light-duty vehicle model. The simulation results show that the genetic algorithm can construct an optimal lookup table with better performance characteristics than the weighted cost function method.

Keywords

Mild hybrid electric vehicle integrated starter-generator lookup-table-based control genetic algorithm optimal torque control

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